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matplotlibtest.py
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99 lines (74 loc) · 2.89 KB
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import matplotlib.pyplot as plt
from sqlalchemy import false
import numpy as np
def echart1():
labels='frogs','hogs','dogs','logs'
sizes=15,20,25,10
colors='yellowgreen','gold','lightskyblue','lightcoral'
explode=0,0.1,0,0
plt.pie(sizes,explode=explode,labels=labels,colors=colors,autopct='%1.1f%%',shadow=False,startangle=0)
plt.title('Top 10 GDP Countries', bbox={'facecolor': '0.8', 'pad': 5})
plt.axis('equal')
plt.show()
def echart2():
import numpy as np
import matplotlib.pyplot as plt
# evenly sampled time at 200ms intervals
t = np.arange(0., 5., 0.2)
# red dashes, blue squares and green triangles
plt.plot(t, t, 'r--', t, t ** 2, 'bs', t, t ** 3, 'g^')
plt.show()
def echart3():
import numpy as np
import matplotlib.pyplot as plt
mu, sigma = 100, 15
x = mu + sigma * np.random.randn(10000)
# 数据的直方图
n, bins, patches = plt.hist(x, 50, normed=1, facecolor='g', alpha=0.75)
plt.xlabel('Smarts')
plt.ylabel('Probability')
# 添加标题
plt.title('Histogram of IQ')
# 添加文字
plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
plt.axis([40, 160, 0, 0.03])
plt.grid(True)
plt.show()
def echart4():
import numpy as np
import matplotlib.pyplot as plt
ax = plt.subplot(111)
t = np.arange(0.0, 5.0, 0.01)
s = np.cos(2 * np.pi * t)
line, = plt.plot(t, s, lw=2)
plt.annotate('local max', xy=(2, 1), xytext=(3, 1.5),
arrowprops=dict(facecolor='black', shrink=0.05),
)
plt.annotate('local min', xy=(3.5, -1.0), xytext=(4.5, -1.5),
arrowprops=dict(facecolor='red', shrink=0.05),
)
plt.ylim(-2, 2)
plt.show()
def echart5():
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
matplotlib.rcParams['font.sans-serif'] = 'Microsoft Yahei' # 改字体为微软雅黑，以便显示中文
fig, ax = plt.subplots()
animal = {"锯齿动物": 38, "蝙蝠类": 21.8, "食虫类": 8.2, "灵长类": 8, "其他": 6.9, "有袋类": 6.5, "食肉类": 5.6, "偶蹄类": 5} # 创建数据
data = np.array([i for i in animal.values()]).astype(float) # 饼图显示数据，将其转换成float格式
label = np.array([j for j in animal.keys()]) # 设置标签
ax.pie(data, labels=label, autopct='%.1f%%', startangle=90, counterclock=False,
wedgeprops=dict(width=0.61, edgecolor='w')) # autopct为显示百分比，startangle为起始角度，counterclock逆时针选否
ax.set_title("哺乳动物类群") # 设置标题
ax.axis("equal") # 设置x轴和y轴等长，否则饼图将不是一个正圆
plt.show()
def echart6():
x = np.linspace(0, 2 * np.pi, 10)
y1, y2 = np.sin(x), np.cos(x)
plt.plot(x, y1, 'ro-')
plt.plot(x, y2, 'g*:', ms=10)
plt.show()
if __name__ == "__main__":
echart6();
# echart4();